In this study, a method for the robust detection of manual wheelchair movement with accelerometer-based data logging is used to obtain metrics of wheelchair mobility that complement mean- and total-distance-only based measurements. It is found that these metrics, that include distance, time and number of activity bouts, provide better understanding of everyday use of manual wheelchairs by shedding more light into how users operate their wheelchairs in their daily lives.